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1.
Article in English | MEDLINE | ID: mdl-38749674

ABSTRACT

BACKGROUND: In addition to other stroke-related deficits, the risk of seizures may impact driving ability after stroke. METHODS: We analysed data from a multicentre international cohort, including 4452 adults with acute ischaemic stroke and no prior seizures. We calculated the Chance of Occurrence of Seizure in the next Year (COSY) according to the SeLECT2.0 prognostic model. We considered COSY<20% safe for private and <2% for professional driving, aligning with commonly used cut-offs. RESULTS: Seizure risks in the next year were mainly influenced by the baseline risk-stratified according to the SeLECT2.0 score and, to a lesser extent, by the poststroke seizure-free interval (SFI). Those without acute symptomatic seizures (SeLECT2.0 0-6 points) had low COSY (0.7%-11%) immediately after stroke, not requiring an SFI. In stroke survivors with acute symptomatic seizures (SeLECT2.0 3-13 points), COSY after a 3-month SFI ranged from 2% to 92%, showing substantial interindividual variability. Stroke survivors with acute symptomatic status epilepticus (SeLECT2.0 7-13 points) had the highest risk (14%-92%). CONCLUSIONS: Personalised prognostic models, such as SeLECT2.0, may offer better guidance for poststroke driving decisions than generic SFIs. Our findings provide practical tools, including a smartphone-based or web-based application, to assess seizure risks and determine appropriate SFIs for safe driving.

2.
JAMA Neurol ; 80(6): 605-613, 2023 06 01.
Article in English | MEDLINE | ID: mdl-37036702

ABSTRACT

Importance: Acute symptomatic seizures occurring within 7 days after ischemic stroke may be associated with an increased mortality and risk of epilepsy. It is unknown whether the type of acute symptomatic seizure influences this risk. Objective: To compare mortality and risk of epilepsy following different types of acute symptomatic seizures. Design, Setting, and Participants: This cohort study analyzed data acquired from 2002 to 2019 from 9 tertiary referral centers. The derivation cohort included adults from 7 cohorts and 2 case-control studies with neuroimaging-confirmed ischemic stroke and without a history of seizures. Replication in 3 separate cohorts included adults with acute symptomatic status epilepticus after neuroimaging-confirmed ischemic stroke. The final data analysis was performed in July 2022. Exposures: Type of acute symptomatic seizure. Main Outcomes and Measures: All-cause mortality and epilepsy (at least 1 unprovoked seizure presenting >7 days after stroke). Results: A total of 4552 adults were included in the derivation cohort (2547 male participants [56%]; 2005 female [44%]; median age, 73 years [IQR, 62-81]). Acute symptomatic seizures occurred in 226 individuals (5%), of whom 8 (0.2%) presented with status epilepticus. In patients with acute symptomatic status epilepticus, 10-year mortality was 79% compared with 30% in those with short acute symptomatic seizures and 11% in those without seizures. The 10-year risk of epilepsy in stroke survivors with acute symptomatic status epilepticus was 81%, compared with 40% in survivors with short acute symptomatic seizures and 13% in survivors without seizures. In a replication cohort of 39 individuals with acute symptomatic status epilepticus after ischemic stroke (24 female; median age, 78 years), the 10-year risk of mortality and epilepsy was 76% and 88%, respectively. We updated a previously described prognostic model (SeLECT 2.0) with the type of acute symptomatic seizures as a covariate. SeLECT 2.0 successfully captured cases at high risk of poststroke epilepsy. Conclusions and Relevance: In this study, individuals with stroke and acute symptomatic seizures presenting as status epilepticus had a higher mortality and risk of epilepsy compared with those with short acute symptomatic seizures or no seizures. The SeLECT 2.0 prognostic model adequately reflected the risk of epilepsy in high-risk cases and may inform decisions on the continuation of antiseizure medication treatment and the methods and frequency of follow-up.


Subject(s)
Epilepsy , Ischemic Stroke , Status Epilepticus , Stroke , Adult , Humans , Male , Female , Aged , Cohort Studies , Prognosis , Ischemic Stroke/complications , Epilepsy/drug therapy , Stroke/complications , Status Epilepticus/drug therapy
3.
Mult Scler Relat Disord ; 65: 103997, 2022 Sep.
Article in English | MEDLINE | ID: mdl-35816954

ABSTRACT

INTRODUCTION: Multiple cranial neuropathies (MCN) is an entity frequently seen in clinical practice but there is a lack of studies published about this entity, with most of them based on case reports and small case series. OBJECTIVE: The aim of this study is to describe the clinical involvement of different cranial nerves, the location within the central or peripheral nervous system and the diagnosis in a group of patients with MCN managed in one hospital in Bogotá-Colombia. METHODOLOGY: A case series study was conducted using the electronic clinical records of a teaching hospital in Bogota-Colombia. Clinical data were collected from patients aged ≥18 with a clinical diagnosis of MCN between 2015 and July 2021. RESULTS: The cranial nerves most commonly affected were III and VII, with the most prevalent combinations being III-IV, III-VI, and V-VII. Among etiologies, the most frequently found were autoimmune, vascular and neoplastic and most common locations included peripheral nerves, neuromuscular junction, cavernous sinus and lateral medulla. CONCLUSIONS: The differential diagnosis of MCN is broad, but clinical clues may aid in identifying the underlying etiology. According to our results, MG was the most frequent etiology, so it should be considered in any patient with a clinical diagnosis of MCN associated with fatigability.


Subject(s)
Cavernous Sinus , Cranial Nerve Diseases , Cavernous Sinus/innervation , Colombia , Cranial Nerve Diseases/diagnosis , Cranial Nerve Diseases/etiology , Cranial Nerves/blood supply , Humans , Peripheral Nervous System
4.
J Stroke Cerebrovasc Dis ; 29(12): 105325, 2020 Dec.
Article in English | MEDLINE | ID: mdl-32992196

ABSTRACT

INTRODUCTION: Coronavirus disease 2019 has been associated with stroke, particular characteristics of these patients are not fully understood. The adequate management of these patients depends on the comprehension of factors such as temporality, clinical presentation and etiology. We hypothesize there is an important temporal relationship between COVID-19 severity and stroke onset. METHODS: a systematic review of the available literature was conducted using Pubmed and Scopus, studies reporting patients with Coronavirus disease 19 and stroke were included. Clinical, sociodemographic and laboratory characteristics of patients were extracted and analyzed. RESULTS: Forty-seven studies and 176 patients were included, with a mean age of 63.1 years (SD= 16 n=122), most of them were males (63.2% n=171). The most frequent etiology was cryptogenic 40.9% n=66), and a mean National Institute of Health Stroke Scale of 14.4 points was found (SD= 8.6 n=73). Large vessel occlusion was reported in 65.9% patients (n=91) and these patients were younger with greater stroke severity. D-dimer, C-reactive protein, fibrinogen, ferritin and lactate dehydrogenase were elevated in most patients with reported findings. Most patients had severe Coronavirus disease 2019. The mean time from onset of respiratory symptoms to stroke was 9 days (SD=9.9), the shortest time was noted in those with mild and moderate disease. CONCLUSIONS: There is a trend between the severity of Coronavirus disease 2019 and time to stroke onset. Also, age and stroke severity were found to be related to the development of large vessel occlusion. Inflammation and hypercoagulability markers are elevated in this disease, we propose to not discard hypercoagulability secondary to severe acute respiratory syndrome-coronavirus-2 as an underlying cause of stroke in these patients.


Subject(s)
COVID-19/epidemiology , Global Health , Stroke/epidemiology , Adult , Age Factors , Aged , Aged, 80 and over , COVID-19/diagnosis , Female , Humans , Male , Middle Aged , Prognosis , Risk Assessment , Risk Factors , Severity of Illness Index , Stroke/diagnosis , Thrombophilia/epidemiology , Time Factors
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